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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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of multi-modal datasets, including MRI/fMRI, behavioural and audio data Develop reproducible statistical and machine learning analysis pipelines Support grant writing, ethics submissions and project
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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analysis (fMRI, MRI) to study mechanisms of brain function. Previous experience with data collection in those within the psychosis spectrum (e.g. clinical high risk/schizophrenia). Previous experience and
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that translate evidence-based interventions for preventing suicide and violence in communities, functional magnetic resonance imaging (fMRI) studies, firearm injury prevention through technology and engineering
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on brain and behavioral development in youth, along with pediatric anxiety and PTSD, using fMRI, anatomical MRI, genotyping, blood biomarkers, and psychophysiology. This position centers on multimodal data
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, conducting and analysing behavioural and/or cognitive neuroscience experiments with human participants. Experience with neuroimaging or neurophysiological methods, such as MEG, EEG, RIFT, eye-tracking, fMRI
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broadly from behavioral (e.g., computerized task) to neuroimaging (e.g., fMRI) data from studies examining neurodevelopmental mechanisms of social information processing (e.g., learning, emotion
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team. Desired Qualifications* Prior experience with behavioral/brain imaging, particularly functional magnetic resonance imaging (fMRI) and/or brain imaging data analysis software (AFNI, FSL, Freesurfer